Data Engineering Intern assisting with data projects and cloud solutions at Simmons Bank. Collaborating on data pipelines and gaining exposure to modern data engineering concepts.
About the role
- Data Engineer Pleno at Verity focusing on building data pipelines and analytics frameworks. Engage with teams to ensure data quality and enhance cloud-based solutions.
Responsibilities
- We are seeking a Mid-level Data Engineer to build, evolve, and maintain data pipelines in cloud environments.
- The role will prepare and provide data for analytical and intelligence initiatives.
- Develop and maintain data ingestion and transformation pipelines.
- Build and optimize datasets for analytical consumption.
- Organize data into analytical layers.
- Ensure data quality, reliability, and performance.
- Collaborate with analysts and data scientists to deliver datasets.
- Support efforts to improve data architecture.
- Maintain and evolve existing pipelines.
Requirements
- Experience in data engineering and building pipelines.
- Proficient in Python for data manipulation and processing.
- Advanced SQL skills.
- Experience with cloud data environments (preferably GCP).
- Knowledge of data modeling and organizing analytical datasets.
- Experience with BigQuery.
- Experience with layered data architectures (Medallion / Lakehouse).
- Experience with pipeline orchestration tools.
- Experience working with large-volume data environments.
Benefits
- Meal allowance
- Food allowance
- Home office allowance
- Medical insurance
- Dental insurance
- Life insurance
- Employee discount partnerships
- Agreements with businesses and educational institutions
- Regular agile training
- Verity Break
- #VerityWithYou
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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